IN-BIOS9000 – Sequencing technologies, data analysis, and applications

Schedule, syllabus and examination date

Course content

The course provides knowledge of sequencing technologies and hands-on experience with the analysis of data from several current sequencing platforms and for various biological and medical applications. Tools, algorithms, and statistical methods for data analysis will be included, as well as data quality assessment and analysis reproducibility. The applications that will be covered may vary from year to year but will typically include de novo whole-genome assembly and variant calling. Other applications like RNA-Seq, ChIP-Seq, or metagenomics could also be covered.

Learning outcome

After completing this course, you will:

  • understand the differences, benefits, and drawbacks of the current sequencing technologies, and be able to decide which platform to use in what way for the different applications
  • be able to evaluate sequencing data quality and quantity
  • know the tools, algorithms, and statistical methods involved in the data analysis
  • be able to perform bioinformatics analysis with data tailored towards selected applications
  • be able to report on the data analysis in such a way that the methods used and the steps taken are transparent, thus enhancing reproducibility
  • be aware of, and know to deal with, the ethical and data-sensitivity issues surrounding sequencing data derived from human subjects
  • be able to critically evaluate, validate and judge the results of bioinformatics analysis of sequencing experiments in terms of underlying assumptions, reliability, sensitivity and specificity, and evaluate their value for answering biological questions

Admission to the course

PhD candidates from the University of Oslo should apply for classes and register for examinations through?Studentweb.

If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.

PhD candidates who have been admitted to another higher education institution must?apply for a position as a visiting student?within a given deadline.

A maximum of 30 students total for IN-BIO5000 and IN-BIO9000 combined.

Ranking:

  1. PhD candidates who have the course as a part of their approved PhD plan and are associated with the NORBIS research school.
  2. PhD candidates who have the course as a part of